期刊
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
卷 24, 期 6, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTQE.2018.2821843
关键词
Silicon photonics; neuromorphic computing; reservoir computing
资金
- EU [688579]
- BELSPO IAP program Photonics@be [P7-35]
- Research Foundation Flanders (FWO) [G024715N]
We present our latest progress using new neuromorphic paradigms for optical information processing in silicon photonics. We show how passive reservoir computing chips can be used to perform a variety of tasks (bit level tasks, nonlinear dispersion compensation, etc.) at high speeds and low power consumption. In addition, we present a spatial analog of reservoir computing based on pillar scatterers and a cavity that can be used to speed up classification of biological cells.
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